Jian Liang

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Tsinghua University ∙ Tencent

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

Natural Language Sentence Matching (NLSM) has gained substantial attenti...
05/15/2019 ∙ by Guanhua Zhang, et al. ∙ 6 ∙ share

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Additive Adversarial Learning for Unbiased Authentication

Authentication is a task aiming to confirm the truth between data instan...
05/16/2019 ∙ by Jian Liang, et al. ∙ 6 ∙ share

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Robust Localized Multi-view Subspace Clustering

In multi-view clustering, different views may have different confidence ...
05/22/2017 ∙ by Yanbo Fan, et al. ∙ 0 ∙ share

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Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm

Object detection when provided image-level labels instead of instance-le...
02/28/2017 ∙ by Ziang Yan, et al. ∙ 0 ∙ share

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Self-Paced Learning: an Implicit Regularization Perspective

Self-paced learning (SPL) mimics the cognitive mechanism of humans and a...
06/01/2016 ∙ by Yanbo Fan, et al. ∙ 0 ∙ share

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Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach

Partial person re-identification (re-id) is a challenging problem, where...
01/03/2018 ∙ by Lingxiao He, et al. ∙ 0 ∙ share

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Model-Protected Multi-Task Learning

Multi-task learning (MTL) refers to the paradigm of learning multiple re...
09/18/2018 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

Unsupervised domain adaptation (UDA) aims to leverage the knowledge lear...
02/20/2020 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation

This work addresses the unsupervised domain adaptation problem, especial...
03/05/2020 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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PANDA: Prototypical Unsupervised Domain Adaptation

Previous adversarial domain alignment methods for unsupervised domain ad...
03/30/2020 ∙ by Dapeng Hu, et al. ∙ 0 ∙ share

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General-Purpose User Embeddings based on Mobile App Usage

In this paper, we report our recent practice at Tencent for user modelin...
05/27/2020 ∙ by Junqi Zhang, et al. ∙ 0 ∙ share

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Jian Liang

Featured Co-authors

Jiashi Feng

Shuicheng Yan

Fei Wang

Ran He

Mo Yu

Shiyu Chang

Zenglin Xu

Zhenan Sun

Siwei Lyu

Changshui Zhang

Jiayu Zhou

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

Additive Adversarial Learning for Unbiased Authentication

Robust Localized Multi-view Subspace Clustering

Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm

Self-Paced Learning: an Implicit Regularization Perspective

Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach

Model-Protected Multi-Task Learning

Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation

PANDA: Prototypical Unsupervised Domain Adaptation

General-Purpose User Embeddings based on Mobile App Usage